Vector retrieval service data management method and system based on domestic CPU and OS
A retrieval service and data management technology, applied in text database indexing, unstructured text data retrieval, climate sustainability, etc., can solve problems such as inability to adapt to domestic CPUs, and achieve faster query speed, management specifications, and guarantees The effect of query speed
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[0041] The present invention will be further described below in conjunction with specific embodiments.
[0042] There is a lot of information in life, such as voice, text, face, fingerprint, etc., which cannot be directly recognized by computer. Now, with the development of artificial intelligence deep learning technology, these information can be processed into vectors that can be recognized and recognized by computers. The computer compares the similarity of two vectors by calculating the Euclidean distance, cosine distance and inner product of the vectors. . And vector retrieval is the technique of storing and looking up these feature vectors.
[0043] The embodiment of the present invention provides a vector retrieval service data management method based on a domestic CPU and OS. The implementation of the method includes index file type selection, vector insertion, data file management and vector query, wherein,
[0044] In the vector insertion stage, data is added to the m
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